
Data Science Expert
1 day ago
We're on a mission to redefine the boundaries of what's possible with machine learning. As a critical member of our team, you'll have the opportunity to work on cutting-edge projects that push the limits of innovation.
We're seeking a talented Machine Learning Engineer who can bring their expertise in machine learning principles, software engineering standards, and statistical analysis to help us deliver groundbreaking solutions to our clients.
Your responsibilities will include working closely with cross-functional teams to set business problems and develop executable solutions. You'll also be responsible for defining and developing successful, robust, and scalable models at every phase of the process, including deciding on convenient approaches and suitable tools, gathering and processing data, applying statistical analysis, building and testing models, and deploying them into production.
Main Responsibilities:- Collaborate with ML Engineers, Software Developers, Management Consultants, and Service Designers to set business problems and produce executable solutions
- Develop successful, robust, and scalable models at every phase of the process
- Work with experts to set industry-grade machine learning and software engineering standards
- Collaborate with stakeholders to drive project success
Requirements:
- MSc/PhD or degree in Computer Science or a relevant subject
- Excellent command of spoken and written English
- Well-established foundation of machine learning principles and software engineering standards
- Solid understanding of statistical and machine learning algorithms and models
- Knowledge and experience of computer vision, natural language processing, signal processing, and big data practices
- Good coding skills, especially in Python, with experience in standard libraries in ML pipelines such as NumPy, SciPy, Pandas, PySpark, SciKit-Learn, TensorFlow/PyTorch, NLTK, GenSim, OpenCV, MatPlotLib, Seaborn, etc.
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